Single-cell sampling with RNA-seq analysis plays an important role in reference laboratory; cytogenomic diagnosis for specimens on glass-slides or rare cells in circulating blood for tumor and genetic diseases; measurement of sensitivity and specificity in tumor-tissue genomic analysis with mixed-cells; mechanism analysis of differentiation and proliferation of cancer stem cell for academic purpose. Our single- cell RNA-seq technique shows that fragments were 250-450 bp after fragmentation, amplification, and adapter addition. There were 11.6 million reads mapped in raw sequencing reads (19.6 million). The numbers of mapped genes, mapped transcripts, and mapped exons were 31,332, 41,210, and 85,786, respectively. All QC results demonstrated that RNA-seq techniques could be used for single-cell genomic performance. Analysis of the mapped genes showed that the number of genes mapped by RNA-seq (6767 genes) was much higher than that of differential display (288 libraries) among similar specimens which we have developed and published. The single-cell RNA-seq can detect gene splicing using different subtype TGF-beta analysis. The results from using Q-rtPCR tests demonstrated that sensitivity is 76% and specificity is 55% from single-cell RNA-seq technique with some gene expression missing (2/8 genes). However, it will be feasible to use RNA-seq techniques to contribute to genomic medicine at single-cell level.
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http://dx.doi.org/10.1155/2013/724124 | DOI Listing |
Front Immunol
March 2025
Department of Digestive Endoscopy, The First Affiliated Hospital of Dalian Medical University, Dalian, Liaoning, China.
Background: Esophageal squamous cell carcinoma (ESCC) represents a frequent cancer with a poor prognosis. Altered glucose metabolism contributes factor to ESCC progression. In our previous study, signal sequence receptor subunit delta (SSR4) was included in an ESCC prognostic model; however, the mechanisms underlying SSR4 implication in ESCC remain ambiguous.
View Article and Find Full Text PDFHeliyon
February 2025
Department of Hepatobiliary Surgery, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, 510120, Guangdong Province, China.
Background: Pancreatic cancer is one of the leading causes of tumor-related mortality, characterized by short patient survival times and limited treatment options. Some targeted therapies have not succeeded in improving patient prognosis. Tumor membranes possess potential target specificity, offering hope for enhancing the efficacy of immunotherapy and drug treatment.
View Article and Find Full Text PDFFront Oral Health
February 2025
UR7516 CHIMERE, Université de Picardie Jules Verne, Amiens, France.
Objectives: The tumor coagulome is an intrinsic characteristic of human tumors and a key determinant of cancer-associated thrombosis (CAT). Oral Squamous Cell Carcinoma (OSCC) establish a local procoagulant state that contributes to a broad range of vascular complications, and potentially also to tumor progression. Recent clinical studies suggest that biomarkers of coagulation might be of interest for predicting postsurgical recurrence of OSCC, but it remains unclear whether specific properties of the coagulome of OSCC are conducive to postsurgical recurrence.
View Article and Find Full Text PDFClin Mol Hepatol
March 2025
Department of Gastroenterology and Hepatology/Kindai University Faculty of Medicine, Osaka-Sayama, Japan.
Background/aims: Previously, we advocated the importance of classifying hepatocellular carcinoma (HCC) based on physiological functions. This study aims to classify HCC by focusing on liver-intrinsic metabolism and glycolytic pathway in cancer cells.
Methods: Comprehensive RNA/DNA sequencing, immunohistochemistry, and radiological evaluations were performed on HCC tissues from the training cohort (n=136) and validated in 916 public samples.
Arthritis Res Ther
March 2025
Department of Rheumatology and Immunology, Capital Medical University Affiliated Anzhen Hospital, Beijing, China.
Objectives: Takayasu arteritis (TAK) is an inflammatory vasculitis that affects the aorta and its primary branches. The pathogenesis of TAK remains elusive, yet identifying key cell types in the aorta of TAK patients is crucial for uncovering cellular heterogeneity and discovering potential therapeutic targets.
Methods: This study utilized single-cell transcriptome analysis on aortic specimens from three TAK patients, with control data sourced from a publicly available database (GSE155468).
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